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|---|---|---|---|---|---|---|---|---|---|---|---|---|
reliefweb:001576 | 14 | 2 | UNHCR database | 817 | 831 | named | named | database | ⟦UNHCR database⟧[4], Ocotober 2011 | true | null | |
reliefweb:001576 | 14 | 2 | ACF Nutrition and Health Survey | 875 | 906 | named | named | survey | ⟦ACF Nutrition and Health Survey⟧[5], Kutupalong and Nayapara camps, April 2010 | true | null | |
reliefweb:001576 | 14 | 2 | ACF Nutrition and Health Survey report | 978 | 1,016 | named | named | report | ⟦ACF Nutrition and Health Survey report⟧[6], Kutupalong and Nayapara camps, July 2011 | true | null | |
reliefweb:001576 | 15 | 0 | Nutrition and health survey results 2006 – 2011 | 136 | 183 | descriptive | descriptive | survey | Figure 2: ⟦Nutrition and health survey results 2006 – 2011⟧[7], children 6 – 59 months | true | null | |
reliefweb:001576 | 15 | 0 | Nutrition and health survey results 2006 - 2011 | 247 | 294 | descriptive | descriptive | survey | ⟦Nutrition and health survey results 2006 - 2011⟧[8] | true | null | |
reliefweb:001576 | 15 | 0 | 2011 survey | 1,150 | 1,161 | descriptive | descriptive | survey | acute malnutrition rates for children 6-23 months had lower rates in the ⟦2011 survey⟧[9] compared to 2010 | true | null | |
reliefweb:001576 | 15 | 1 | UNHCR database | 1,676 | 1,690 | named | named | database | ⟦UNHCR database⟧[10], October 2011 | true | null | |
reliefweb:001576 | 19 | 0 | secondary data | 1,720 | 1,734 | vague | vague | other | Analyzing ⟦secondary data⟧[11] to inform preliminary understanding of causality | true | null | |
reliefweb:001576 | 19 | 1 | cross-sectional household survey | 375 | 407 | descriptive | descriptive | survey | Conducting a ⟦cross-sectional household survey⟧[12] for assessing and estimation of prevalence of malnutrition | true | null | |
reliefweb:001576 | 20 | 0 | secondary data | 180 | 194 | vague | vague | other | Selected ⟦secondary data⟧[13] on nutrition and related situation was reviewed | true | null | |
reliefweb:001576 | 21 | 1 | GoB family book | 704 | 719 | named | named | administrative | verification of their registration was based on ⟦GoB family book⟧[14] and ⟦UNHCR yellow sheet⟧[15] | true | null | |
reliefweb:001576 | 21 | 1 | UNHCR yellow sheet | 724 | 742 | named | named | administrative | verification of their registration was based on ⟦GoB family book⟧[14] and ⟦UNHCR yellow sheet⟧[15] | true | null | |
reliefweb:001576 | 21 | 1 | camp population data per block | 1,182 | 1,212 | descriptive | descriptive | administrative | Cluster assignment was done using the ENA delta software according to ⟦camp population data per block⟧[16] | true | null | |
reliefweb:001576 | 23 | 0 | household questionnaire | 332 | 355 | descriptive | descriptive | survey | Information collected in the ⟦household questionnaire⟧[17] was grouped in five main areas | true | null | |
reliefweb:001576 | 23 | 1 | local event calendar | 1,286 | 1,306 | descriptive | descriptive | other | a ⟦local event calendar⟧[18] was used to estimate the age in months | false | null | |
reliefweb:001576 | 24 | 0 | quantitative data | 220 | 237 | vague | vague | other | statistical analysis of the ⟦quantitative data⟧[19] with the ⟦qualitative data⟧[20] collected through the observations and FGD | true | null | |
reliefweb:001576 | 24 | 0 | qualitative data | 247 | 263 | vague | vague | other | statistical analysis of the ⟦quantitative data⟧[19] with the ⟦qualitative data⟧[20] collected through the observations and FGD | true | null | |
reliefweb:001576 | 26 | 2 | nutrition survey | 389 | 405 | descriptive | descriptive | other | this is not a ⟦nutrition survey⟧[21] | false | null | |
reliefweb:001576 | 31 | 0 | MUAC | 766 | 770 | named | named | other | based on ⟦MUAC⟧[22] (and/or oedema) | false | null | |
reliefweb:001576 | 36 | 0 | UNHCR database | 1,122 | 1,136 | named | named | database | 29,368 refugees are registered on the ⟦UNHCR database⟧[23] | true | null | |
reliefweb:001576 | 36 | 0 | UNHCR database | 1,617 | 1,631 | named | named | database | ⟦UNHCR database⟧[24], October 2011 | true | null | |
reliefweb:001576 | 38 | 0 | WFP survey | 1,347 | 1,357 | named | named | survey | 2007 results from ⟦WFP survey⟧[25] on level | true | null | |
reliefweb:001576 | 38 | 1 | WFP survey | 241 | 251 | named | named | survey | 2007 results from ⟦WFP survey⟧[26] on level of income sources | true | null | |
reliefweb:001576 | 39 | 2 | household expenditure surveys | 154 | 183 | descriptive | descriptive | other | Smith Lisa C. and Ali Subandoro (2007): Measuring food security using ⟦household expenditure surveys⟧[27] | false | null | |
reliefweb:001576 | 42 | 0 | 2011 nutrition survey | 430 | 451 | descriptive | descriptive | survey | Anaemia results for children 6-59 months in the camps from ⟦2011 nutrition survey⟧[28] | true | null | |
reliefweb:001576 | 42 | 0 | Nutrition Survey of 2011 | 469 | 493 | named | named | survey | From the ⟦Nutrition Survey of 2011⟧[29] (ACF), we know that the anaemia status | true | null | |
reliefweb:001576 | 53 | 0 | household questionnaire | 572 | 595 | descriptive | descriptive | survey | From the ⟦household questionnaire⟧[30]’s direct question on exclusive breastfeeding practices | true | null | |
reliefweb:001576 | 64 | 0 | HIS October 2011 | 1,336 | 1,352 | named | named | report | According to the ⟦HIS October 2011⟧[1], the level of LBW in the camps was 15% in September and 13% in October | true | null | |
reliefweb:001576 | 65 | 0 | Low birth weight data | 215 | 236 | descriptive | descriptive | other | <u>Table 36: ⟦Low birth weight data⟧[2]</u> | true | null | |
reliefweb:001576 | 72 | 1 | UNHCR data | 1,124 | 1,134 | named | named | administrative | According to ⟦UNHCR data⟧[3], there has been an increase in the prevalence of SGBV | true | null | |
reliefweb:001576 | 75 | 0 | FGD | 361 | 364 | descriptive | vague | other | In the ⟦FGD⟧[4], the refugees mention that the waste disposal site is very unpleasant | false | null | |
reliefweb:001576 | 78 | 0 | seasonal calendars | 963 | 981 | descriptive | descriptive | other | we know from the ⟦seasonal calendars⟧[5], that diarrhea and ARI’s tend to spike during the season change | true | null | |
reliefweb:001576 | 7 | 0 | Low birth weight data | 269 | 290 | descriptive | descriptive | other | Table 36: ⟦Low birth weight data⟧[6] | true | null | |
reliefweb:001576 | 80 | 1 | FGD | 446 | 449 | descriptive | vague | other | During the ⟦FGD⟧[7], it was confirmed that job opportunities are quite restricted | false | null | |
reliefweb:001576 | 84 | 1 | FGD’s | 2,002 | 2,007 | descriptive | vague | other | In the ⟦FGD’s⟧[8], the refugees | false | null | |
reliefweb:001576 | 84 | 2 | FGD’s | 256 | 261 | descriptive | vague | other | In the ⟦FGD’s⟧[9], the refugees mention that the waste disposal site is very unpleasant | false | null | |
reliefweb:001576 | 85 | 0 | Birth weight data | 1,185 | 1,202 | descriptive | descriptive | other | ⟦Birth weight data⟧[10] was difficult to collect for | true | null | |
reliefweb:001576 | 85 | 1 | Birth weight data | 184 | 201 | descriptive | descriptive | other | ⟦Birth weight data⟧[11] was difficult to collect for several reasons and only 47% of children were found to have data on their weight at birth | true | null | |
reliefweb:001576 | 85 | 1 | registry books | 420 | 434 | descriptive | descriptive | administrative | This data had to be collected not only from the birth certificates and PNC cards but equally from ⟦registry books⟧[12] from the MoH managed health centres | true | null | |
reliefweb:001576 | 87 | 0 | dataset | 1,548 | 1,555 | vague | descriptive | database | we use the descriptive analysis from the ⟦dataset⟧[13] and the qualitative findings | true | null | |
reliefweb:001576 | 87 | 1 | IDDS | 1,797 | 1,801 | named | named | other | measuring quality of child food intake is very commonly done by using ⟦IDDS⟧[14] | false | null | |
reliefweb:001576 | 88 | 0 | DHS surveys | 680 | 691 | named | named | survey | analysis of some ⟦DHS surveys⟧[15] which are using large national samples of children across the country | true | null | |
reliefweb:001576 | 88 | 0 | DHS database | 842 | 854 | named | named | database | causal analysis of undernutrition using ⟦DHS database⟧[16], is able to explain 15 to 20% of undernutrition | true | null | |
reliefweb:001576 | 88 | 0 | cross sectional survey | 1,081 | 1,103 | descriptive | descriptive | survey | This is why the ⟦cross sectional survey⟧[17] used in the NCA is looking at a broad base of causes | true | null | |
reliefweb:001576 | 8 | 0 | Nutrition and health survey results | 300 | 335 | descriptive | descriptive | survey | Figure 2: ⟦Nutrition and health survey results⟧[18] 2006 – 2011, children 6 – 59 months | true | null | |
reliefweb:001576 | 8 | 3 | WFP survey | 384 | 394 | named | named | survey | 2007 results from ⟦WFP survey⟧[19] on level of income sources | true | null | |
reliefweb:001576 | 90 | 0 | NCA | 1,267 | 1,270 | named | named | other | throughout the ⟦NCA⟧[20] it was shown that the level of knowledge of the refugees | false | null | |
reliefweb:001576 | 97 | 0 | Household questionnaire | 247 | 270 | descriptive | descriptive | other | ⟦Household questionnaire⟧[21], page -97 | false | null | |
reliefweb:001576 | 98 | 0 | Household questionnaire | 124 | 147 | descriptive | descriptive | other | ⟦Household questionnaire⟧[22], page -98 | false | null | |
reliefweb:001576 | 99 | 2 | Household questionnaire | 674 | 697 | descriptive | descriptive | other | ⟦Household questionnaire⟧[23], page -99 | false | null | |
reliefweb:001577 | 10 | 0 | survey conducted by UNHCR | 416 | 441 | descriptive | descriptive | survey | The examples are drawn from a ⟦survey conducted by UNHCR⟧[24] and a coalition of faith-based organizations | true | null | |
reliefweb:001577 | 10 | 0 | Survey on good practice examples | 971 | 1,003 | named | named | survey | See **Annex A** for the complete list of contributors to the ⟦Survey on good practice examples⟧[25] | true | null | |
reliefweb:001577 | 10 | 0 | Survey on Good Practices Examples | 1,232 | 1,265 | named | named | survey | contained in two publications entitled “Overview of the ⟦Survey on Good Practices Examples⟧[26]” | true | null | |
reliefweb:001578 | 0 | 2 | MICS 2009 | 379 | 388 | named | named | survey | 6% unemployment rate (⟦MICS 2009⟧[27]) | true | null | |
reliefweb:001578 | 0 | 2 | registration of Syrian refugees | 1,662 | 1,693 | descriptive | descriptive | other | the Government of Lebanon requested the suspension of ⟦registration of Syrian refugees⟧[28] conducted by UNHCR | false | null | |
reliefweb:001578 | 0 | 3 | registration of Syrian refugees | 143 | 174 | descriptive | descriptive | other | the Government of Lebanon requested the suspension of ⟦registration of Syrian refugees⟧[29] conducted by UNHCR | false | null | |
reliefweb:001578 | 1 | 5 | Living Conditions and Household Budget Survey | 992 | 1,037 | named | named | survey | Data Source: Lebanese Population - Central Administration of Statistics (CAS) year 2002 dataset, Poverty data: CAS, UNDP and MoSA ⟦Living Conditions and Household Budget Survey⟧[1] 2004-5 | true | null | |
reliefweb:001578 | 1 | 5 | Humanitarian Intervention Data | 1,099 | 1,129 | named | named | database | ⟦Humanitarian Intervention Data⟧[2] - Activity Info as of 30/06/2015 | true | null | |
reliefweb:001578 | 1 | 5 | Lebanese Returnees data IOM | 1,203 | 1,230 | named | named | other | ⟦Lebanese Returnees data IOM⟧[3] as of 30/06/2015 | true | null | |
reliefweb:001579 | 0 | 2 | реєстрів нерухомості | 517 | 537 | descriptive | descriptive | administrative | існувала добре розвинена система ⟦реєстрів нерухомості⟧[4] (кадастри) | true | null | |
reliefweb:001579 | 11 | 3 | базі даних соціально вразливих сімей | 149 | 185 | descriptive | descriptive | database | Сім’ї зареєстровані в єдиній ⟦базі даних соціально вразливих сімей⟧[5] | true | null | |
reliefweb:001579 | 16 | 0 | Земельному реєстрі | 649 | 667 | named | descriptive | administrative | 100 000 заявок на повернення землі у ⟦Земельному реєстрі⟧[6] | true | null | |
reliefweb:001579 | 16 | 0 | кадастрового реєстру | 687 | 707 | descriptive | descriptive | administrative | у ⟦кадастрового реєстру⟧[7] | true | null | |
reliefweb:001579 | 16 | 1 | Земельному реєстрі | 1 | 19 | descriptive | descriptive | administrative | ⟦Земельному реєстрі⟧[8] (відрізняється від ⟦кадастрового реєстру⟧[9]) | true | null | |
reliefweb:001579 | 16 | 1 | кадастрового реєстру | 39 | 59 | descriptive | descriptive | administrative | ⟦Земельному реєстрі⟧[8] (відрізняється від ⟦кадастрового реєстру⟧[9]) | true | null | |
reliefweb:001579 | 17 | 0 | неофіційними даними | 538 | 557 | vague | vague | other | За ⟦неофіційними даними⟧[10] – 130 000 | false | null | |
reliefweb:001579 | 5 | 6 | внутрішню мережу контактів | 313 | 339 | descriptive | descriptive | other | влада Боснії розробила значну ⟦внутрішню мережу контактів⟧[11] | false | null | |
reliefweb:001579 | 9 | 0 | статистики Міністерства | 357 | 380 | descriptive | descriptive | report | відповідно до ⟦статистики Міністерства⟧[12] у справах біженців та розселення станом на 17.09.2014 | true | null | |
reliefweb:001579 | 9 | 3 | загальнодоступному реєстрі | 664 | 690 | descriptive | descriptive | administrative | без його попередньої реєстрації у ⟦загальнодоступному реєстрі⟧[13] | true | null | |
reliefweb:001580 | 26 | 0 | data provided on the websites of UNHCR | 391 | 429 | descriptive | descriptive | other | The statistics presented in this paper are derived from ⟦data provided on the websites of UNHCR⟧[14] (www.unhcr.org) | true | null | |
reliefweb:001580 | 2 | 0 | statistical data | 792 | 808 | vague | vague | other | drawing on ⟦statistical data⟧[15] gathered by UNHCR and other organizations | true | null | |
reliefweb:001581 | 10 | 0 | 2006 Human Development Index | 1,480 | 1,508 | named | named | indicator | UNDP ranked Angola as number 161 out of 177 countries in the ⟦2006 Human Development Index⟧[16] (UNDP 2006: 286) | true | null | |
reliefweb:001581 | 17 | 1 | health statistics | 1,112 | 1,129 | vague | descriptive | indicator | Angola has some of the worst ⟦health statistics⟧[17] in the world | true | null | |
reliefweb:001581 | 18 | 1 | statistical data | 406 | 422 | vague | vague | other | there is a lack of ⟦statistical data⟧[18] for the area | true | null | |
reliefweb:001581 | 22 | 0 | land registry | 465 | 478 | descriptive | descriptive | administrative | a lack of efficient ⟦land registry⟧[19] | true | null | |
reliefweb:001582 | 0 | 0 | 2019 national population and housing census | 473 | 516 | named | descriptive | census | data from the ⟦2019 national population and housing census⟧[20] in Kenya | true | null | |
reliefweb:001582 | 0 | 0 | KEY POPULATION DATA | 940 | 959 | descriptive | vague | other | **⟦KEY POPULATION DATA⟧[21]** | false | null | |
reliefweb:001582 | 11 | 1 | GBV data | 2,161 | 2,169 | vague | vague | other | ⟦GBV data⟧[22] collection, analysis and reporting is still fragmented | false | null | |
reliefweb:001582 | 11 | 2 | GBV data | 210 | 218 | vague | vague | other | ⟦GBV data⟧[23] collection, analysis and reporting is still fragmented by different stakeholders | false | null | |
reliefweb:001582 | 11 | 2 | Refugee related data | 410 | 430 | vague | vague | other | ⟦Refugee related data⟧[24] cannot be analysed from the current data management system | false | null | |
reliefweb:001582 | 11 | 2 | refugee data | 580 | 592 | vague | vague | other | include ⟦refugee data⟧[25] is under discussion | false | null | |
reliefweb:001582 | 14 | 0 | lands records | 1,874 | 1,887 | descriptive | descriptive | administrative | The digitization of the ⟦lands records⟧[26] and transactions has not been completed | true | null | |
reliefweb:001582 | 14 | 1 | lands records | 69 | 82 | descriptive | descriptive | administrative | The digitization of the ⟦lands records⟧[27] and transactions has not been completed | true | null | |
reliefweb:001582 | 14 | 1 | NIIMS | 225 | 230 | named | named | system | including through inclusion in ⟦NIIMS⟧[28] and issuance of a unique identifier | true | null | |
reliefweb:001582 | 16 | 0 | National Education Management Information System | 222 | 270 | named | named | system | may be registered in the ⟦National Education Management Information System⟧[29] (NEMIS) | true | null | |
reliefweb:001582 | 16 | 1 | NEMIS | 1,063 | 1,068 | named | named | system | their registration in ⟦NEMIS⟧[30] as a priority | true | null | |
reliefweb:001582 | 17 | 0 | Kenya Health Information System | 512 | 543 | named | named | system | The use of the ⟦Kenya Health Information System⟧[1] and the Logistic Information Management System provide additional benefits | true | null | |
reliefweb:001582 | 17 | 1 | Enhanced Single Registry | 1,134 | 1,158 | named | named | system | utilize the data in the ⟦Enhanced Single Registry⟧[2] (ESR) | true | null | |
reliefweb:001582 | 17 | 1 | social registry data | 1,181 | 1,201 | descriptive | descriptive | administrative | which includes ⟦social registry data⟧[3] for several drought affected counties | true | null | |
reliefweb:001582 | 8 | 1 | national population census | 1,248 | 1,274 | descriptive | descriptive | census | were included in the ⟦national population census⟧[4], which was last conducted in August 2019 | true | null | |
reliefweb:001582 | 9 | 1 | refugee database by DRS | 855 | 878 | descriptive | descriptive | database | issuance is not normally recorded in the ⟦refugee database by DRS⟧[5] | true | null | |
reliefweb:001582 | 9 | 1 | UNHCR statistics | 893 | 909 | named | named | indicator | According to ⟦UNHCR statistics⟧[6], however, the birth registration rate for refugees and asylum-seekers in the refugee camps is at 95% | true | null | |
reliefweb:001582 | 9 | 2 | civil registration database | 406 | 433 | descriptive | descriptive | administrative | linkages and interoperability between the ⟦civil registration database⟧[7] and other user systems | true | null | |
reliefweb:001583 | 10 | 0 | budget survey | 1,005 | 1,018 | descriptive | descriptive | survey | Conceptions of the ten items on the ⟦budget survey⟧[8] are summarized below | true | null | |
reliefweb:001583 | 12 | 1 | budget survey | 739 | 752 | descriptive | descriptive | survey | When asked what the most important item was on the ⟦budget survey⟧[9], about half of participants stated | true | null | |
reliefweb:001583 | 14 | 0 | budget survey | 1,864 | 1,877 | descriptive | descriptive | survey | Using evidence from the ⟦budget survey⟧[10], the study considers the quantity of investments made in each item | true | null | |
reliefweb:001583 | 17 | 1 | Qualitative data | 904 | 920 | vague | vague | other | ⟦Qualitative data⟧[11] will be used to uncover the significance of these differences | true | null | |
reliefweb:001583 | 18 | 1 | quantitative data | 1,526 | 1,543 | vague | vague | other | the three points that the ⟦quantitative data⟧[12] suggests | true | null | |
reliefweb:001583 | 18 | 1 | budget survey | 1,715 | 1,728 | descriptive | descriptive | survey | On average, refugees allocated money to 95.4% of the items of the ⟦budget survey⟧[13] | true | null | |
reliefweb:001583 | 18 | 2 | budget survey | 8 | 21 | descriptive | descriptive | survey | of the ⟦budget survey⟧[14], while nationals allocated money to only 68% of the items | true | null |
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